Tour Booking OpenClaw Plugin & Skill | ClawHub
Looking to integrate Tour Booking into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate coding agents & ides tasks instantly, without having to write custom tools from scratch.
What this skill does
Sub-agent for outbound listing-office calls to request and confirm property showing slots using a provided call script and structured payloads. Use when a parent workflow needs call execution for one or more listings, including dry-run payload generation, live ElevenLabs call requests, and parsing call outcomes into booking statuses.
Install
ClawHub CLI
openclaw skills install @danielfoch/tour-bookingNode.js (npx)
npx clawhub@latest install tour-bookingFull SKILL.md
Open originalMetadata table.
| name | description |
|---|---|
| tour-booking | Sub-agent for outbound listing-office calls to request and confirm property showing slots using a provided call script and structured payloads. Use when a parent workflow needs call execution for one or more listings, including dry-run payload generation, live ElevenLabs call requests, and parsing call outcomes into booking statuses. |
SKILL.md content below is scrollable.
Tour Booking
Overview
Handle the call execution layer for property showing bookings:
- Build a consistent call prompt from listing and client data.
- Send outbound call request to ElevenLabs (or dry-run).
- Normalize call outcome into structured status fields.
Inputs
Each call job should include:
job_idclient_namelisting.addresslisting.office_phonepreferred_windows_texttimezone
Runbook
1) Build payload
python3 scripts/prepare_call_payload.py \
--job /tmp/job.json \
--output /tmp/call-payload.json
2) Place call
Dry-run (default safe mode):
python3 scripts/place_outbound_call.py \
--payload /tmp/call-payload.json \
--output /tmp/call-result.json \
--dry-run
Live mode:
python3 scripts/place_outbound_call.py \
--payload /tmp/call-payload.json \
--output /tmp/call-result.json \
--live
3) Parse outcome
python3 scripts/parse_call_result.py \
--input /tmp/call-result.json \
--output /tmp/booking-outcome.json
Call Guardrails
- State clearly that the caller is an AI assistant calling on behalf of the realtor.
- Ask for available slots inside the requested window first; request alternatives if unavailable.
- Confirm final slot with exact date and local time before ending the call.
- If the office cannot confirm, mark as
pending_callbackand capture callback requirements.
ClawHub Registry URL: https://clawhub.ai/danielfoch/skills/tour-booking